Association analyses of DNA polymorphisms in bovine SREBP-1, LXRα,FADS1 genes with fatty acid composition in Canadian commercial crossbred beef steers

Two previously reported DNA polymorphisms of sterol regulatory element binding transcription factor 1 (SREBP1) and liver X receptor alpha (LXRα) and two DNA polymorphisms of fatty acid desaturase 1 (FADS1) were evaluated for associations with fatty acids in brisket adipose tissue of Canadian cross-bred beef steers. The polymorphism of 84 bp insert/deletion in intron 5 of SREBP1 was significantly associated with the concentration of 9c C17:1 (P=0.013). The G>A single nucleotide polymorphism (SNP) in the exon 4 of LXRα gene was associated with the concentration of 9c, 11t C18:2 (P=0.04), sum of conjugated linoleic acids (CLA) (P=0.025) and 11c C20:1(P=0.042). Two DNA polymorphisms in the promoter region of FADS1, deletion/insertion of ->GTG in rs133053720 and SNP A>G in rs42187276, were significantly associated with concentrations of C17:0 iso, C17:0 ai, total branched chain fatty acids (BFA), 12t C18:1, 13t/14t C18:1, 15t C18:1, and 13c C18:1 (P<0.05). Further studies are needed to validate the associations and to delineate the roles of the gene polymorphisms in determining the fatty acid composition in beef tissues.

Human Papillomavirus (HPV) genotype 18 variants in patients with clinical manifestations of HPV related infections in Bilbao, Spain

Background:Human papillomavirus (HPV) variants differ in their biological and chemical properties, and therefore, may present differences in pathogenicity. Most authors classified variants based on the phylogenetic analysis of L1 region. Nevertheless, recombination in HPV samples is becoming a usual finding and thus, characterizing genetic variability in other regions should be essential. Objectives:We aimed to characterize the genetic variability of HPV 18 in 5 genomic regions: E6, E7, E4, L1 and the Upstream Regulatory Region (URR), working with both single infection and multiple HPV infection samples. Furthermore, we aimed to assess the prevalence of HPV 18 variants in our region and look for possible existence of recombination as well as analyze the relationship between these variants and the type of lesion. Methods: From 2007 to 2010, Clinical Microbiology and Infection Control Department analyzed 44 samples which were positive for HPV 18. Genetic variability was determined in PCR products and variants were assigned to European, Asian-amerindian or African lineage. Recombination and association of variants with different types of lesion was studied. Results: Genetic analysis of the regions revealed a total of 56 nucleotide variations. European, African and Asian-amerindian variants were found in 25/44 (56.8%), 10/44 (22.7%) and 5/44 (11.4%) samples, respectively. We detected the presence of recombinant variants in 2/44 (4.5%) cases. Samples taken from high-grade squamous intraepithelial lesions (H-SIL) only presented variants with specific-african substitutions. Conclusions: Multiple HPV infection, non-european HPV variants prevalence and existence of recombination are considered risk factors for HPV persistence and progression of intraepithelial abnormalities, and therefore, should be taken into consideration in order to help to design and optimize diagnostics protocols as well as improve epidemiologic studies. Our study is one of the few studies in Spain which analyses the genetic variability of HPV18 and we showed the importance of characterizing more than one genomic region in order to detect recombination and classify HPV variants properly

SYSTEMATICS OF GROUNDWATER OLIGOCHAETES (ANNELIDA, CLITELLATA) IN KARSTIC AREAS OF THE CANTABRIAN REGION/ ERREGIO KANTAURIARREKO EREMU KARSTIKOETAN DAUDEN LURPEKO OLIGOKETO (ANNELIDA, CLITELLATA) URT

This thesis deals with the oligochaete taxa (Annelida, Clitellata) from several karst units in the Cantabrian region, northern Iberian Peninsula. Groundwater oligochaetes are still poorly known fauna and the area seems to be a promising hotspot for groundwater taxa. Metodology is based on both morphological and molecular analyses. More than 7,000 specimens were collected from five karst units and >60 taxa were identified. Stygobiont oligochaete fauna in the northern Iberian Peninsula is diverse and mostly endemic (range areas <300 km). Three new stygogiont oligochaete species are described: Gianius navarroi Rodriguez & Achurra, 2010, Isochaetides gianii Rodriguez & Achurra, 2010 and Troglodrilus jugeti Achurra et al., 2012; and another four new taxa will be described in the near future. Taxonomic remarks on Lophochaeta ignota Stolc, 1886 and Troglodrilus galarzai (Giani & Rodriguez, 1988) are provided. The controversial separation of L. ignota and Heterochaeta costata Claparède, 1863 from Tubifex Lamarck, 1816 is corroborated by mitochondrial molecular data. Following the DNA barcoding method, individuals of the stygoxene species Stylodrilus heringianus Claparède, 1862 from different geographic areas are shown to represent a single metapopulation. The first phylogenetic analysis of the subfamily Tubificinae based on molecular data is attemped, which although incompletely resolved, evidences for the first time a close relationship between a stygobiont oligochaete (Troglodrilus Juget et al. 2006) and an estuarine especies (Heterochaeta costata Claparéde, 1863). A marine ancestor is hypothesised for Troglodrilus. Finally, Ereñozar karst unit (Biscay) is suggested to be a hotspot for groundwater oligochaetes (11 stygobiont taxa, of which 4 are endemic to the karst unit) and several biodiversity indices (Species richness, Rarity, Vulnerability and Complementarity) are shown to be useful tools for conservation management of groundwater habitats in that karst area.

Application of Entropy and Fractal Dimension Analyses to the Pattern Recognition of Contaminated Fish Responses in Aquaculture

The objective of the work was to develop a non-invasive methodology for image acquisition, processing and nonlinear trajectory analysis of the collective fish response to a stochastic event. Object detection and motion estimation were performed by an optical flow algorithm in order to detect moving fish and simultaneously eliminate background, noise and artifacts. The Entropy and the Fractal Dimension (FD) of the trajectory followed by the centroids of the groups of fish were calculated using Shannon and permutation Entropy and the Katz, Higuchi and Katz-Castiglioni's FD algorithms respectively. The methodology was tested on three case groups of European sea bass (Dicentrarchus labrax), two of which were similar (C1 control and C2 tagged fish) and very different from the third (C3, tagged fish submerged in methylmercury contaminated water). The results indicate that Shannon entropy and Katz-Castiglioni were the most sensitive algorithms and proved to be promising tools for the non-invasive identification and quantification of differences in fish responses. In conclusion, we believe that this methodology has the potential to be embedded in online/real time architecture for contaminant monitoring programs in the aquaculture industry.

Monte Carlo methods for TMD analyses

4th International Workshop on Transverse Polisarization Phenomena in Hard Processes (TRANSVERSITY 2014)